Package: studyStrap 1.0.0

studyStrap: Study Strap and Multi-Study Learning Algorithms

Implements multi-study learning algorithms such as merging, the study-specific ensemble (trained-on-observed-studies ensemble) the study strap, the covariate-matched study strap, covariate-profile similarity weighting, and stacking weights. Embedded within the 'caret' framework, this package allows for a wide range of single-study learners (e.g., neural networks, lasso, random forests). The package offers over 20 default similarity measures and allows for specification of custom similarity measures for covariate-profile similarity weighting and an accept/reject step. This implements methods described in Loewinger, Kishida, Patil, and Parmigiani. (2019) <doi:10.1101/856385>.

Authors:Gabriel Loewinger [aut, cre], Giovanni Parmigiani [ths], Prasad Patil [sad], National Science Foundation Grant DMS1810829 [fnd], National Institutes of Health Grant T32 AI 007358 [fnd]

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7 exports 0.00 score 170 dependencies 2 scripts 150 downloads

Last updated 5 years agofrom:e8baf7a691. Checks:OK: 1 NOTE: 6. Indexed: yes.

Exports:cmssfatTrimmergedsim.metricsssssestudyStrap.predict

Dependencies:ashaskpassbackportsbase64encbitbit64bitopsblobbroombslibcachemcallrcaretCCAcellrangerclassclicliprclockclustercodetoolscolorspaceconflictedcpp11crayoncurldata.tableDBIdbplyrdeSolvediagramdigestdotCall64dplyrdtplyre1071evaluatefansifarverfastmapfdafdsfieldsFNNfontawesomeforcatsforeachfsfuturefuture.applygarglegenericsggplot2globalsgluegoogledrivegooglesheets4gowergtablehardhathavenhdrcdehighrhmshtmltoolshttridsipredisobanditeratorsjquerylibjsonlitekernlabKernSmoothknitrkslabelinglatticelavalifecyclelistenvlocfitlubridatemagrittrmapsMASSMatrixMatrixCorrelationmclustmemoisemgcvmimeModelMetricsmodelrmulticoolmunsellmvtnormnlmennetnnlsnumDerivopensslparallellypcaPPpillarpkgconfigplotrixplsplyrpracmaprettyunitspROCprocessxprodlimprogressprogressrproxypspurrrR6raggrainbowrappdirsRColorBrewerRcppRcppArmadilloRcppEigenRCurlreadrreadxlrecipesrematchrematch2reprexreshape2rlangrmarkdownrpartRSpectrarstudioapirvestsassscalesselectrshapespamSQUAREMstringistringrsurvivalsyssystemfontstextshapingtibbletidyrtidyselecttidyversetimechangetimeDatetinytextzdbutf8uuidvctrsviridisLitevroomwithrxfunxml2yaml